Identifying hot-spot pathways in fishery science and technology innovation through temporal heterogeneous graph neural networks.

Zhang F, Wang X, Hu J

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DOI: 10.1038/s41598-026-58675-9
Published: 2026 Jun 21
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-58675-9,
  title = {Identifying hot-spot pathways in fishery science and technology innovation through temporal heterogeneous graph neural networks.},
  author = {Zhang F and Wang X and Hu J},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-58675-9},
  url = {https://doi.org/10.1038/s41598-026-58675-9}
}

RIS

TY  - JOUR
TI  - Identifying hot-spot pathways in fishery science and technology innovation through temporal heterogeneous graph neural networks.
AU  - Zhang F
AU  - Wang X
AU  - Hu J
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-58675-9
UR  - https://doi.org/10.1038/s41598-026-58675-9
ER  -

APA

F, Z., X, W., & J, H. (2026). Identifying hot-spot pathways in fishery science and technology innovation through temporal heterogeneous graph neural networks.. Scientific reports. https://doi.org/10.1038/s41598-026-58675-9

Source records

pubmed · retrieved 2026-09-26T07:07:58.423Z
europe-pmc · retrieved 2026-09-26T07:07:58.436Z
doaj · retrieved 2026-09-26T07:07:58.419Z